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Software Engineer (San Jose)

Evolve Group, San Jose, CA, United States


Member of Technical Staff — Backend (AI / ML Systems)

Location:

San Francisco (Union Square)
Work Policy:

Onsite – 5 Days per Week
Compensation:

$200k – $325k Base + Bonus + Stock Options
Visa Sponsorship:

Available

About the Role

A fast-growing AI company building infrastructure for

automating complex financial and tax document workflows

is hiring

Backend Engineers / Member of Technical Staff

to build the core systems powering its machine learning platform.

The company was recently

acquired by a global enterprise technology leader , giving the team significant resources and long-term stability while maintaining the speed and ownership of an early-stage startup.

Engineers in this role will build the

core infrastructure for ML inference, data extraction pipelines, and AI-powered automation systems

used by major accounting firms and financial institutions.

This is a

high-impact backend role

where engineers own systems end-to-end and work directly with customers to shape product capabilities.

What You’ll Do

Build core backend systems that deploy and scale

machine learning inference pipelines
Design and implement services that extract structured data from complex tax documents
Drive architecture decisions for core platform services and internal tooling
Integrate ML models, monitoring systems, and application layers into production systems
Develop backend services and database layers supporting product workflows
Build integrations with external vendor APIs and financial data sources
Collaborate on

CI/CD systems and infrastructure

to accelerate product development
Work directly with customers (accountants and financial teams) to understand product needs

Who You Are

5+ years

of backend software engineering experience
Strong proficiency in

Python
Experience building production systems in

high-bar engineering environments
Experience working with

large datasets and data processing pipelines
Comfortable making architecture decisions and owning systems end-to-end
Strong product mindset and ability to collaborate directly with users
Demonstrated growth through

promotions or increasing ownership

in previous roles
Based in or willing to relocate to

San Francisco (5 days in-office)

Tech Stack

Python
Django (or similar backend frameworks)
Google Cloud Platform (GCP)
Kubernetes
Workflow / data processing systems

Compensation & Logistics

Base Salary:

$200k – $325k
Bonus + Stock Options:

Included
Location:

San Francisco
Work Policy:

Full-time onsite (5 days/week)
Visa Sponsorship:

Available

Interview process typically includes

initial screening, technical interviews, and an onsite round .